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COMPRESSION OF A SIGNATURE DATABASE - digital library txstate

COMPRESSION OF A SIGNATURE DATABASE - digital library txstate 2025

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The thesis titled 'Compression of a Signature Database' by Edson Ricardo Amboni explores the effectiveness of various lossy and lossless compression algorithms for object signatures derived from digital images. It evaluates methods such as Differential Pulse Code Modulation (DPCM), Discrete Cosine Transformation (DCT), and Compressed Sensing (CS) in terms of their ability to compress image data while maintaining recognition accuracy. The research concludes that DPCM offers the best performance in terms of rate distortion, while CS, despite higher distortion levels, allows for reduced data representation during acquisition. The study emphasizes the need for further research into advanced compression techniques and their application in recognizing natural images.

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